# scalad/Note

常规Java工具，算法，加密，数据库，面试题，源代码分析，解决方案

Repository: https://github.com/scalad/Note
Canonical: https://ross.abutalabs.com/products/scalad-note
Language: Java
License Family: other
Topics: java, mysql, security, utils, linux
Last push: 2022-09-01T17:38:27+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3648, "days_push": 1462, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2082, forks 820 (observed 2026-08-28T04:06:11.685038+00:00)

## What it is
A Chinese-language collection of Java study notes covering common utilities, algorithms, encryption, databases (MySQL), interview questions, and source code analysis. It functions as a personal knowledge repository rather than a runnable software product.

## Use cases
- prepare for Java developer interviews
- review Java algorithms and data structures
- learn encryption and security basics in Java
- study MySQL database notes and solutions
- read Java source code analysis examples

## When to choose
- you want curated Java interview prep material in Chinese
- you need reference notes on Java utilities, algorithms, and databases
- you are studying Java source code internals

## When to avoid
- you need a production-ready library or tool to add as a dependency
- you require English-language documentation
- you need actively maintained, versioned software with a license

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools, cryptography, database, security
- domain: developer-tools, tutorials, databases, security
- platform: jvm, cross-platform
- tags: java, interview-questions, notes, algorithms, mysql, source-code-analysis, chinese, linux

## Member repositories
- scalad/Note (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:11.685038+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:55:55.941097+00:00, confidence not recorded.
  - readme: https://github.com/scalad/Note (fetched 2026-08-28T04:06:11.685038+00:00, sha f2a4452a8622)
- Data as of 2026-08-30T08:39:29.467469+00:00.